Ratio adjustment and calibration scheme for gene-wise normalization to enhance microarray inter-study prediction.

ABSTRACT:

Motivation

Reproducibility analyses of biologically relevant microarray studies have mostly focused on overlap of detected biomarkers or correlation of differential expression evidences across studies. For clinical utility, direct inter-study prediction (i.e. to establish a prediction model in one study and apply to another) for disease diagnosis or prognosis prediction is more important. Normalization plays a key role for such a task. Traditionally, sample-wise normalization has been a standard for inter-array and inter-study normalization. For gene-wise normalization, it has been implemented for intra-study or inter-study predictions in a few papers while its rationale, strategy and effect remain unexplored.

Results

In this article, we investigate the effect of gene-wise n

SUBMITTER: Cheng C 

PROVIDER: S-EPMC2732320 | biostudies-literature | 2009 Jul

REPOSITORIES: biostudies-literature